Data & Knowledge Engineering
ISSN 0169-023x · Elsevier BV · Netherlands · active 1985–2026
Metrics
- Scimago quartile (2025)
- Q1
- Cites per paper (2y)
- 4.7
- SJR
- 0.78
- h-index
- 109
“Cites per paper” is a two-year cited-by rate computed from OpenAlex. It is not a Clarivate Journal Impact Factor — we neither compute nor license that metric (how the two differ). Citation rates differ enormously between fields, so compare within a discipline. What the other figures mean: journal quartile, SJR, h-index and article processing charge.
Data as of 25 October 2026 (venue index build).
Scimago Journal Rank 2025
In the Scimago Journal Rank 2025 edition, Data & Knowledge Engineering is Q1 in Information Systems and Management (#37 of 175 journals).
| Subject category | Quartile | Rank in category |
|---|---|---|
| Information Systems and Management | Q1 | #37 of 175 |
- Cites per document (2 years, Scopus)
- 5.08
- Documents indexed in 2025 (Scopus)
- 78
The quartile is the one Scimago prints for each category. Rank is the journal's position by SJR among the journals Scimago lists in that category (#1 is the highest); “—” means we hold no rank consistent with that quartile. The document count is what Scopus indexed that year, which can be lower than a journal's full output. Source: SCImago Journal Rank 2025 edition, from Scopus data (scimagojr.com, CC BY-NC).
Data & Knowledge Engineering is Q1 in Information Systems and Management (2025 edition, #37 of 175 journals), with SJR 0.78 (Scimago) and an h-index of 109 (OpenAlex). Listed in Scopus, Web of Science, PubMed.
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Indexing & access
- Indexed in
- ScopusWeb of SciencePubMed
- Access status:
- hybrid. Where this comes from publisher-level signals rather than works-level data it is a heuristic — confirm on the journal’s own site, especially regarding any article processing charge.
Scope
Frequently asked
Is Data & Knowledge Engineering a predatory journal?
Our screening does not flag Data & Knowledge Engineering. That is not a guarantee of quality — it means the venue is not on Beall's archive (frozen since 2017) and does not match our name-pattern heuristic. It is listed in Scopus, Web of Science, PubMed, which is a positive signal.
Is Data & Knowledge Engineering indexed in Scopus or Web of Science?
Per our venue index, Data & Knowledge Engineering appears in: Scopus, Web of Science, PubMed. Index membership changes over time — confirm on the index's own site before relying on it.
What is the impact factor of Data & Knowledge Engineering?
Papers in Data & Knowledge Engineering are cited about 4.7 times each within two years of publication, and Scimago places it in Q1, with an h-index of 109. Those are the open equivalents: the Clarivate Journal Impact Factor is a proprietary metric we neither compute nor license, so we show the two-year citation rate and Scimago quartile instead — they answer the same question of how heavily the journal is cited. A citation rate is a property of a field as much as of a journal.
What Scimago quartile is Data & Knowledge Engineering (Q1, Q2, Q3, or Q4)?
In the Scimago Journal Rank 2025 edition, Data & Knowledge Engineering is Q1 in Information Systems and Management (#37 of 175 journals). Quartiles split the journals in a subject category into four equal groups by SJR, so Q1 is the most-cited quarter and Q4 the least; Data & Knowledge Engineering is cited about 4.7 times per paper over two years, with an h-index of 109.
What is the Web of Science (JCR) quartile of Data & Knowledge Engineering?
The Web of Science quartile comes from Clarivate's Journal Citation Reports (JCR), a proprietary product we neither license nor compute — so we cannot state a JCR quartile for Data & Knowledge Engineering. The open equivalent is its Scimago quartile, Q1, derived from Scopus citation data. Because JCR ranks against Web of Science and Scimago against Scopus, the two can differ, so check Clarivate's site directly if you need the JCR quartile specifically.
Is Data & Knowledge Engineering open access?
Our index records its access status as "hybrid". Where this is derived from publisher-level signals rather than works-level data it is a heuristic, so confirm on the journal's own site — particularly if an article processing charge matters to you.
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Similar venues
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Compare it with its peers: Ranked Artificial Intelligence journals — ranked by Scimago quartile and cites per paper, predatory venues excluded.